Google Pixel 10 Pro XL
Geekbench AI Score
2310
Single Precision Score
2396
Half Precision Score
3826
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 10 Pro XL |
| Model ID | Google Pixel 10 Pro XL |
| Motherboard | mustang |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 2 Cores @ 2.25 GHz |
| Cluster 2 | 5 Cores @ 3.05 GHz |
| Cluster 3 | 1 Core @ 3.78 GHz |
| Memory Information | |
|---|---|
| Size | 14.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (Q)
|
100% |
3062
569.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3903
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9660
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1683
133.9 IPS |
|
|
Object Detection (HP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (Q)
|
83% |
2368
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
5593
66.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3612
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3723
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6754
61.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9515
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9432
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19527
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4528
167.8 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
643
22.8 IPS |
